Comparative study of FIR and IIR filters for the removal of 50 Hz noise from EEG signal. (2016)

• Record Type: Journal Article
• Authors: Singh, Vivek; Veer, Karan; Sharma, Reecha; Kumar, Sanjeev
• Is Part Of: International journal of biomedical engineering and technology. Volume 22:Number 3(2016)
• Page Start: 250
• Page End: 257
• Publication Date: 2016
• Subjects: EEG signals -- electroencephalography -- FIR -- finite impulse response -- IIR -- infinite impulse response -- FFT -- fast Fourier transform -- SNR -- signal-to-noise ratio -- signal processing -- noise removal -- performance evaluation -- powerline noise; Biomedical engineering -- Periodicals; 610.28
• Languages: English
• ISSNs: 1752-6418

Abstract

Small amplitude (μV) of the Electroencephalography (EEG) signal is contaminated by various artefacts in a recorded signal and changes the originality of the signal. The most common disturbance among them is power-line frequency noise of 50 Hz. This makes clinical analysis and information retrieval difficult. It is necessary to remove all such disturbances in EEG signals for proper diagnosis. In this study, performance analysis of Finite Impulse Response (FIR) filter based on various windows and Infinite Impulse Response (IIR) filters for noise reduction from EEG signals have been done. Digital FIR and IIR filter of 100th order applied to signal epochs were studied and performance analysis was done by calculating the fast Fourier transform and signal-to-noise ratio. The result shows that Kaiser window-based FIR filters is better at removing power-line noise from EEG signal.